Projects
Functional analysis, stochastic analysis and applications
| Code |
Science |
Field |
| P000 |
Natural sciences and mathematics |
|
Generalized inverses, spectra, matrix equations, summability, stochastic and differential equations
Organisations (6)
, Researchers (5)
0117 University of Nis, Faculty of Sciences and Mathematics
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
07811 |
PhD Biljana B. Arsić |
Bioinformatics, medical informatics, biomathematics biometrics |
Researcher |
2011 - 2019 |
29 |
| 2. |
08728 |
Dragan S. Đorđević |
Series, Fourier analysis, functional analysis |
Head |
2011 - 2019 |
52 |
| 3. |
11569 |
Aleksandra B. Kapešić |
Mathematics |
Researcher |
2013 - 2019 |
0 |
| 4. |
12057 |
Aleksandra M. Petrović |
Mathematics |
Researcher |
2018 - 2019 |
0 |
0032 University of Belgrade, Technical Faculty
0074 University of Kragujevac, Faculty of Science
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
11135 |
Slavica M. Stamenković |
Mathematics |
Researcher |
2011 - 2019 |
0 |
0099 University of Nis, Faculty of Medicine
0104 University of Nis, Faculty of Mechanical Engineering
0131 University of Nis, Faculty of Technology
Abstract
In general, the investigations will include functional and stochastical analysis, concerning also their frequent applications. More precise, we investigate: linear bounded and unbounded operators on Banach and Hilbert spaces, Banach and C*algebras, Hilbert C* modules, Fredholm and spectral properties, complex matrices, matrix equations and inequalities, solving various equations numerically, generalized invertibility in rings, different concepts of summability, classes of transformations on sequence spaces, infinite matrices, stochastic differential equations, stochastic integral equations, existence and stability of SDE and SIE, solving these equations analytically and numerically, define and investigate new distributions, estimation of parameters and forecast time series, time series with outliers, numerical simulations of defined time series, the asymptotic analysis of second-order nonlinear ordinary and functional differential equations in the framework of regularly varying functions, define and investigate new classes of generalizations of orthogonal polynomials, implementation of obtained results in economy, ecology, epidemiology, physics, mechanics, as well as in other relevant sciences and social aspects.